This model classified politicians' tweets in English according to nine issues:
Health
Economy
Immigration
Crime
Education
Taxes
International Affairs
Defense
Environment
The model was used to classify Twitter messages to study responsiveness to public issue salience in the following article: https://doi.org/10.1017/S153759272400104X.
If you find the model useful for your work, it would be great if you could cite it:
APA: Dickson, Z. P. (2024). The Gender Gap in Elite-Voter Responsiveness Online. Perspectives on Politics, 1-17.
BibTeX: @article{dickson2024gender,
title={The Gender Gap in Elite-Voter Responsiveness Online},
author={Dickson, Zachary P},
journal={Perspectives on Politics},
pages={1--17},
year={2024},
publisher={Cambridge University Press}
}
